Member of Technical Staff - Research

The role

You will invent and build software systems that enable AI infrastructure to operate under power constraints. You will develop technologies ranging from research prototypes to production deployments using AI systems, distributed computing, and cloud infrastructure.

What you will do

• Design and build novel systems for power-aware AI infrastructure, distributed computing, and large-scale cloud platforms.
• Develop production-quality software, research prototypes, and experimental infrastructure.
• Apply machine learning, optimization, systems, or control techniques to AI infrastructure and cloud operations.
• Design, implement, and evaluate algorithms using large-scale experimental platforms and production deployments.
• Partner with product and customer facing teams to transition research innovations into customer-facing products.
• Collaborate with partners across industry and academia on cutting-edge research initiatives.
• Publish high-impact research in leading systems and AI conferences when appropriate.
• Help shape Emerald AI's long-term technical roadmap and identify new research directions.

Required qualifications

• Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a closely related field.
• Strong background in one or more of the following: Machine learning systems, AI infrastructure, Distributed systems, Cloud computing, Systems for AI or HPC, Performance optimization.
• Excellent software engineering skills with experience developing large software systems in languages such as C++, Python, Go, or Rust.
• Experience building research prototypes or with large-scale production code.
• Strong publication record or demonstrated history of delivering impactful technical innovations.
• Ability to independently drive research from idea through implementation and evaluation.

Nice to have

• Experience deploying systems in production cloud or distributed environments.
• Experience working with large codebases, production software, or open-source infrastructure.
• Experience with Kubernetes, Slurm, distributed training/inference frameworks, or large-scale AI infrastructure.
• Experience with GPU systems, accelerators, or performance analysis tools.
• Experience in optimization, control systems, resource scheduling, or systems performance.
• Experience with power management, energy-efficient computing, sustainability, or data center infrastructure.
• Experience taking research innovations from prototype to production.

Benefits

• Competitive pay + equity.
• Stock options.
• Medical.
• Dental.
• Vision.
• 401(k) matching.

About the company

Emerald AI sits at the intersection of AI and energy, enabling AI data centers to scale without overwhelming the grid. The team is backed by investors including Radical Ventures and NVIDIA.